Update app.py

app.py

@@ -16,32 +16,25 @@ def construct_index(directory_path):
 
     index = GPTVectorStoreIndex.from_documents(docs, service_context=service_context)
     
-    #Directory in which the indexes will be stored
     index.storage_context.persist(persist_dir="indexes")
 
     return index
 
 def chatbot(input_text):
     
-    # rebuild storage context
     storage_context = StorageContext.from_defaults(persist_dir="indexes")
-    
-    #load indexes from directory using storage_context 
+     
     query_engne = load_index_from_storage(storage_context).as_query_engine()
     
     response = query_engne.query(input_text)
     
-    #returning the response
     return response.response
 
-#Creating the web UIusing gradio
 iface = gradio.Interface(fn=chatbot,
                      inputs=gradio.inputs.Textbox(lines=4, label="Enter your question here"),
                      outputs=gradio.outputs.Textbox(label="Generated Text"),
                      title="Custom-trained AI Chatbot")
 
-#Constructing indexes based on the documents in trainingData folder
 index = construct_index("trainingData")
 
-#launching the web UI using gradio
 iface.launch()